Artificial Intelligencehttps://www.journals.elsevier.com/artificial-intelligence/rss
A list of the latest newsen-GBElsevier B.V.00043702artificial intelligenceELS:STMJ:JMKTprodmarketing:news:rssen1591511753370marketing:newsfalseJCblueMP-CP3.231.220.225https://assets.adobedtm.com/376c5346e33126fdb6b2dbac81e307cbacfd7935/satelliteLib-321e92b3395967cd3136de1605b3242267ea16ed.jshttps://www.journals.elsevier.com/artificial-intelligence/news/opening-the-black-box-of-explainable-ai
News: Opening the black box of explainable AI through social science<p>
Artificial intelligence (AI) is becoming increasingly pervasive in society and AI applications are even starting to make high-stakes decisions. However, many AI systems are currently unable to provide effective explanations to people of how these decisions are made, which means that many are resisted or rejected.</p>Thu, 07 Nov 2019 18:10:00 Zhttps://www.journals.elsevier.com/artificial-intelligence/news/dont-be-taken-for-a-ride-ai-helps-spot-ridesharing-cheats
News: Don't be taken for a ride – How AI helps spot ridesharing cheats<p>
Ridesharing apps, like Uber, Didi or Lyft, are often affordable and convenient. But unregulated ridesharing can be risky for passengers. A group of researchers, led by Qiang Yang from Hong Kong University of Science and Technology and Leye Wang from Peking University in China, has come up with a novel solution to this problem. They have published their findings in the Elsevier journal Artificial Intelligence.</p>Mon, 28 Oct 2019 00:00:00 Zhttps://www.journals.elsevier.com/artificial-intelligence/call-for-papers/special-issue-on-explainable-artificial-intelligence
Call for Papers: Special Issue on Explainable Artificial Intelligence<p>
As intelligent systems become more widely applied (robots, automobiles, medical & legal decision-making), users and the general public are becoming increasingly concerned with issues of understandability and trust. The current generation of Intelligent systems based on machine learning seem to be inscrutable. Consequently, explainability has become an important research topic, in both research literature and the popular press.</p>Wed, 22 May 2019 00:00:00 +0100https://www.journals.elsevier.com/artificial-intelligence/news/array-partner-journal
News: Array Partner Journal<p>
Manuscripts can be rejected for a range of different reasons. Very commonly, we see rejections based on the grounds that the research did not fit the journal’s scope. Array has partnered with over 40 computer science journals to provide you with a fast and easy route to submit your manuscript using Elsevier’s Article Transfer Service. If you receive a decision that includes an invitation to move your submission to Array, the email will contain a link allowing you to accept or decline.</p>Tue, 14 May 2019 05:00:00 +0100https://www.journals.elsevier.com/artificial-intelligence/awards/2019-classic-paper-award-was-given-to
Awards: 2019 CLASSIC PAPER AWARD was given to<p>
<a href="https://www.sciencedirect.com/science/article/pii/S0004370299000521">Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning</a><br />
RS Sutton, D Precup, S Singh - Artificial intelligence, 1999 - Elsevier</p>Fri, 15 Feb 2019 09:00:00 Zhttps://www.journals.elsevier.com/artificial-intelligence/awards/2019-prominent-paper-award-was-given-to
Awards: 2019 PROMINENT PAPER AWARD was given to:<p>
<a href="http://https://www.sciencedirect.com/science/article/pii/S0004370214000216">The dropout learning algorithm</a><br />
P Baldi, P Sadowski - Artificial intelligence, 2014 - Elsevier</p>Tue, 01 Jan 2019 14:00:00 Zhttps://www.journals.elsevier.com/artificial-intelligence/news/computer-science-catalogue-2018-2019
News: Computer Science Catalogue 2018-2019<p>
<a href="http://media.journals.elsevier.com/content/files/catalogue-2018-10134244.pdf">Explore our journals in Computer Science</a></p>Thu, 06 Dec 2018 20:50:00 Zhttps://www.journals.elsevier.com/artificial-intelligence/news/getting-more-electric-cars-on-the-road
News: Getting more electric cars on the road<p>
In a bid to encourage the uptake of EVs, many authorities are looking at increasing the number of charging stations in their cities. To substantially increase the numbers, however, they want there to be a large demand first. But drivers are reluctant to switch to EVs if there are not enough changing stations. It's a classic catch-22.</p>Tue, 20 Nov 2018 00:00:00 Zhttps://www.journals.elsevier.com/artificial-intelligence/call-for-papers/special-issue-on-ethics-for-autonomous-systems
Call for Papers: Special Issue on ETHICS FOR AUTONOMOUS SYSTEMS<p>
In the future autonomous robotic systems are expected to be common, not only in factories and on our roads, but in domestic and health-care situations. This new generation of intelligent machines will be required to act autonomously, yet function as part of our society. Societally integrated machines will encounter not just safety issues, but ethical issues as well. There has been a large amount of work in Philosophy on a range of ethical theories. We are also having an enthusiastic media debate on the relevance of having ethical machines and building autonomous systems ethically. This special issue focuses on the challenges of building ethical behaviour into autonomous systems. Key aspects of addressing these changes are explainability and verifiability of the implemented approach, precise and unambiguous formalisation of requirements for ethical behaviour, and special challenges arising from implementing ethical behaviour in systems that have adaptive components, especially learning.</p>Fri, 31 Aug 2018 00:00:00 +0100https://www.journals.elsevier.com/artificial-intelligence/call-for-papers/special-issue-on-epistemic-planning
Call for Papers: Special Issue on Epistemic Planning<p>
Epistemic planning is the enrichment of automated planning with epistemic notions such as knowledge and belief. In general, single-agent epistemic planning considers the following problem: given an agent’s current state of knowledge, and a desirable state of knowledge, how does it get from one to the other? In multi-agent epistemic planning, the current and desirable states of knowledge might also refer to the states of knowledge of other agents, including higher-order knowledge like ensuring that agent A doesn’t get to know that agent B knows P. Single-agent epistemic planning is of central importance in settings where agents need to be able to reason about their own lack of knowledge and, e.g., make plans of how to achieve the required knowledge. Multi-agent epistemic planning is essential for coordination and collaboration among multiple agents, where success can only be expected if agents are able to reason about the knowledge, uncertainty and capabilities of other agents. It is a relatively recent area of research involving combinations of several sub-areas of artificial intelligence, such as automated planning, decision-theoretic planning, epistemic logic, strategic reasoning and knowledge representation & reasoning. In order to achieve formalisms and systems for epistemic planning that are both expressive and practically efficient, it is necessary to combine state of the art from several such sub-areas of artificial intelligence that have so far been considered mostly in separation. Epistemic planning has applications in game playing, human-robot interaction, social robotics, etc. For this special issue of AIJ, we invite papers on theory, applications, and implemented systems of epistemic planning.</p>Tue, 28 Aug 2018 00:00:00 +0100https://www.journals.elsevier.com/artificial-intelligence/awards/2018-classic-paper-award-was-given-to
Awards: 2018 CLASSIC PAPER AWARD was given to:<p>
Phan Minh Dung<br />
On the Acceptability of Arguments and its Fundamental Role in Nonmonotonic Reasoning, Logic Programming and n-Person Games.<br />
Art. Intell. 77(2): 321-358 (1995)<br />
<a href="https://doi.org/10.1016/0004-3702(94)00041-X">https://doi.org/10.1016/0004-3702(94)00041-X</a></p>Wed, 04 Apr 2018 08:00:00 +0100https://www.journals.elsevier.com/artificial-intelligence/awards/2018-prominent-paper-award-was-given-to
Awards: 2018 PROMINENT PAPER AWARD was given to:<p>
Martin Gebser, Benjamin Kaufmann, Torsten Schaub:<br />
Conflict-driven answer set solving: From theory to practice.<br />
Artif. Intell. 187: 52-89 (2012)<br />
<a href="https://doi.org/10.1016/j.artint.2012.04.001">https://doi.org/10.1016/j.artint.2012.04.001</a></p>Mon, 01 Jan 2018 07:00:00 Zhttps://www.journals.elsevier.com/artificial-intelligence/awards/2017-prominent-paper-award-is-shared-by-two-papers-this-year
Awards: 2017 PROMINENT PAPER AWARD - is shared by two papers this year<p>
BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network.<br />
Roberto Navigli, Simone Paolo Ponzetto<br />
Artif. Intell. 193: 217-250 (2012)<br />
<a href="https://doi.org/10.1016/j.artint.2012.07.001">https://doi.org/10.1016/j.artint.2012.07.001</a></p>
<p>
and</p>
<p>
YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia.<br />
Johannes Hoffart, Fabian M. Suchanek, Klaus Berberich, Gerhard Weikum<br />
Artif. Intell. 194: 28-61 (2013).<br />
<a href="https://doi.org/10.1016/j.artint.2012.06.001">https://doi.org/10.1016/j.artint.2012.06.001</a></p>Wed, 16 Aug 2017 11:00:00 +0100https://www.journals.elsevier.com/artificial-intelligence/news/daniel-danny-bobrow
News: Daniel (Danny) Bobrow<p>
It is with great sadness that we acknowledge the passing of Professor Daniel (Danny) Bobrow, Former Editor-in-Chief of Artificial Intelligence. </p>Wed, 19 Apr 2017 00:00:00 +0100https://www.journals.elsevier.com/artificial-intelligence/awards/the-2017-classic-paper-award-was-given-to
Awards: The 2017 CLASSIC PAPER AWARD was given to:<p>
Fast Planning Through Planning Graph Analysis.<br />
Avrim Blum, Merrick L. Furst<br />
Artif. Intell. 90(1-2): 281-300 (1997)<br />
<a href="https://doi.org/10.1016/S0004-3702(96)00047-1">https://doi.org/10.1016/S0004-3702(96)00047-1</a></p>Wed, 12 Apr 2017 11:00:00 +0100https://www.journals.elsevier.com/artificial-intelligence/awards/prizes-for-2016-classic
Awards: Prizes for 2016 Classic<p>
Real-time heuristic search<br />
Richard E. Korf<br />
Artificial intelligence 42 (2-3), pp 189-211, 1990<br />
<a href="https://doi.org/10.1016/0004-3702(90)90054-4">https://doi.org/10.1016/0004-3702(90)90054-4</a></p>Thu, 02 Mar 2017 10:00:00 Zhttps://www.journals.elsevier.com/artificial-intelligence/awards/prizes-for-2016
Awards: Prizes for 2016<p>
Monte-Carlo tree search and rapid action value estimation in computer Go<br />
Sylvain Gelly and David Silver<br />
Artificial Intelligence 175 (11), Pages 1856-1875, 2011<br />
<a href="https://doi.org/10.1016/j.artint.2011.03.007">https://doi.org/10.1016/j.artint.2011.03.007</a></p>Tue, 17 Jan 2017 11:00:00 Zhttps://www.journals.elsevier.com/artificial-intelligence/awards/the-2016-classic-and-prominent-paper-award-winners
Awards: The 2016 Classic and Prominent Paper Award Winners<p>
The AI Journal is pleased to announce two new awards for papers published in the journal:</p>
<p>
• The AIJ Prominent Paper Award<br />
• The AIJ Classic Paper Award</p>
<p>
For more information about the awards and for details on how to submit a nomination, please visit the <a href="http://www.ida.liu.se/ext/aijd/">journal's homepage</a> and click AIJ Awards in the main section of the page.</p>Mon, 19 Dec 2016 00:00:00 Zhttps://www.journals.elsevier.com/artificial-intelligence/awards/the-2015-classic-and-prominent-paper-award-winners
Awards: The 2015 Classic and Prominent Paper Award Winners<p>
The AI Journal is pleased to announce two new awards for papers published in the journal:</p>
<p>
• The AIJ Prominent Paper Award<br />
• The AIJ Classic Paper Award</p>
<p>
For more information about the awards and for details on how to submit a nomination, please visit the journal's homepage and click AIJ Awards in the main section of the page.</p>Sun, 18 Dec 2016 00:00:00 Zhttps://www.journals.elsevier.com/artificial-intelligence/awards/the-2015-classic-paper-award-was-given-to
Awards: The 2015 CLASSIC PAPER AWARD was given to:<p>
Fusion, Propagation, and Structuring in Belief Networks<br />
Judea Pearl<br />
Artificial Intelligence 29 (3) (1986) 241-288<br />
<a href="https://doi.org/10.1016/0004-3702(86)90072-X">https://doi.org/10.1016/0004-3702(86)90072-X</a></p>Wed, 12 Aug 2015 08:00:00 +0100https://www.journals.elsevier.com/artificial-intelligence/awards/announcement-2014-classic-and-prominent-paper-awards
Awards: The 2014 Classic and Prominent Paper Awards Winners<p>
The AI Journal is pleased to announce two new awards for papers published in the journal:</p>
<p>
• The AIJ Prominent Paper Award<br />
• The AIJ Classic Paper Award</p>
<p>
For more information about the awards and for details on how to submit a nomination, please visit the journal's homepage and click AIJ Awards in the main section of the page.</p>Wed, 01 Jul 2015 00:00:00 +0100https://www.journals.elsevier.com/artificial-intelligence/awards/the-2014-classic-paper-award-was-given-to
Awards: The 2014 CLASSIC PAPER AWARD was given to<p>
A logic for default reasoning<br />
Ray Reiter<br />
Artificial Intelligence 13 (1-2), Pages 81-132 (1980)<br />
<a href="https://doi.org/10.1016/0004-3702(80)90014-4">https://doi.org/10.1016/0004-3702(80)90014-4</a></p>Mon, 02 Jun 2014 06:00:00 +0100https://www.journals.elsevier.com/artificial-intelligence/awards/2013-classic-paper-award
Awards: The 2013 CLASSIC PAPER AWARD was given to the following two papers:<p>
Richard Fikes, Nils J. Nilsson<br />
STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving.<br />
Artificial Intelligence 2(3/4): 189-208 (1971)<br />
<a href="https://doi.org/10.1016/0004-3702(71)90010-5">https://doi.org/10.1016/0004-3702(71)90010-5</a><br />
AND</p>
<p>
Alan K. Mackworth<br />
Consistency in Networks of Relations<br />
Artificial Intelligence 8(1):99-118 (1977)<br />
<a href="https://doi.org/10.1016/0004-3702(77)90007-8">https://doi.org/10.1016/0004-3702(77)90007-8</a></p>Fri, 28 Feb 2014 00:00:00 Zhttps://www.journals.elsevier.com/artificial-intelligence/awards/the-2012-prominent-paper-award
Awards: The 2012 PROMINENT PAPER AWARD was given to:<p>
Learning and inferring transportation routines<br />
Lin Liao, Donald J. Patterson, Dieter Fox, and Henry Kautz<br />
Vol 171 (5–6), April 2007, Pages 311–331<br />
<a href="https://doi.org/10.1016/j.artint.2007.01.006">https://doi.org/10.1016/j.artint.2007.01.006</a></p>Wed, 01 May 2013 00:00:00 +0100https://www.journals.elsevier.com/artificial-intelligence/awards/announcing-the-winner-of-the-aij-prominent-paper-award
Awards: Announcing the winner of the 2012 AIJ Prominent Paper Award<p>
We are delighted to announce that <em><u><a href="http://dx.doi.org/10.1016/j.artint.2007.01.006">Learning and inferring transportation routines</a></u></em> by Lin Liao, Donald J. Patterson, Dieter Fox and Henry Kautz has been awarded the AIJ Prominent Paper Award 2012 at the ECAI Conference which took place in Montpellier, 27-31 August.</p>Thu, 18 Oct 2012 00:00:00 +0100https://www.journals.elsevier.com/artificial-intelligence/policies/new-submission-policy
Policies and Guidelines: New Submission Policy<p>
<strong>Please note that with immediate effect</strong>, all new submissions to the Artificial Intelligence Journal must be submitted via <a href="http://www.ees.elsevier.com/artint/">Elsevier's Editorial System (EES)</a> which provides a web-based interface for all users (editors, reviewers, authors).</p>Thu, 28 Jun 2012 14:50:00 +0100https://www.journals.elsevier.com/artificial-intelligence/policies/guide-for-reviewers
Policies and Guidelines: Guide for Reviewers<p>
Articles that are submitted to the Artificial Intelligence Journal are partly reviewed by Editorial Board members, partly by other highly qualified researchers. The nomination of reviewers for each article is usually done by one of the Associate Editors, and the actual contact with the reviewers is then managed by one of the Editors-in-Chief.</p>
<p>
If you have been asked to review a paper, and in particular if this is the first time, the following may be helpful.<br />
</p>Thu, 28 Jun 2012 12:40:00 +0100https://www.journals.elsevier.com/artificial-intelligence/policies/preparing-documents-with-latex1
Policies and Guidelines: Preparing Documents with LaTeX<p>
The Elsevier LaTeX pages are intended to support journal authors who are writing their manuscripts in LaTeX.</p>Thu, 28 Jun 2012 09:30:00 +0100https://www.journals.elsevier.com/artificial-intelligence/policies/for-more-instructions
Policies and Guidelines: For more instructions<p>
For more instructions please see AIJ journal section page <a href="http://www.ida.liu.se/ext/aijd/ ">here.</a></p>Wed, 27 Jun 2012 14:40:00 +0100https://www.journals.elsevier.com/artificial-intelligence/news/ai-journal-competition-section
News: AI Journal Competition Section<p>
AI Journal Competition Section</p>Thu, 21 Jun 2012 11:10:00 +0100https://www.journals.elsevier.com/artificial-intelligence/news/manuscript-posting-in-arxiv
News: Manuscript posting in arXiv<p>
At Elsevier, we believe authors should be able to distribute their accepted manuscripts for their personal needs and interests, e.g. posting to their websites or their institution’s repository, or e-mailing to colleagues.</p>Mon, 16 Apr 2012 00:00:00 +0100